Skip to main content

Advertisement

SpringerLink
Log in

Comments on “Landslide susceptibility zonation study using remote sensing and GIS technology in the Ken–Betwa River Link area, India” by R. Avtar, C. K. Singh, G. Singh, R. L. Verma, S. Mukherjee, H. Sawada in Bulletin of Engineering Geology and the Environment (doi:10.1007/s10064-011-0368-5)

  • Discussion
  • Published:
Bulletin of Engineering Geology and the Environment Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

References

  • Baeza C (1994) Evaluación de las condiciones de rotura y la movilidad de los deslizamientos superficiales mediante el uso de técnicas de análisis multivariante (Evaluation of the failure conditions and mobility by using multivariate analysis in superficial media). Thesis (PhD), University Politechnique Catalunya (in Spanish)

  • Bednarik M, Magulova M, Matys M, Marschalko M (2010) Landslide susceptibility assessment of the Kralovany–Liptovsky Mikulas railway case study. Phys Chem Earth Parts A/B/C 35(3–5):162–171

    Article  Google Scholar 

  • Binaghi E, Luzi L, Madella P, Rampini A (1998) Slope instability zonation: a comparison between certainty factor and fuzzy Dempster-Shafer approaches. Nat Hazards 17:77–97

    Article  Google Scholar 

  • Carrara A, Crosta G, Frattini P (2003) Geomorphological and historical data in assessing landslide hazard. Earth Surf Processes Landf 28:1125–1142

    Article  Google Scholar 

  • Chacón J, Irigaray C, Fernández T (1994) Large to middle scale landslide inventory, analysis and mapping with modeling and assessment of derived susceptibility, hazards and risks in a GIS. In: Proceedings of 7th IAEG Congress, Balkema, Rotterdam, pp 4669–4678

  • Chung CF, Fabbri AG, van Westen CJ (1995) Multivariate regression analysis for landslide hazard zonalition. In: Carrara A, Guzetti F (eds) Geographical informations systems in assessing natural hazards. Kluwer Publishers, Dordrecht

    Google Scholar 

  • Dai FC, Lee CF, Zhang XH (2001) GIS-based geo-environmental evaluation for urban land-use planning: a case study. Eng Geol 61:257–271

    Article  Google Scholar 

  • Fernández T, Irigaray C, Hamdouni RE, Chacón J (2003) Methodology for landslide susceptibility mapping by means of a GIS, application to the contraviesa area (Granada, Spain). Nat Hazards 30:297–308

    Article  Google Scholar 

  • Gokceoglu C, Aksoy H (1996) Landslide susceptibility mapping of the slopes in the residual soils of the Mengen region (Turkey) by deterministic stability analyses and image processing technique. Eng Geol 44:147–161

    Article  Google Scholar 

  • Gomez H, Kavzoglu T (2005) Assessment of shallow landslide susceptibility using artificial neural networks in Jabonosa River Basin, Venezuela. Eng Geol 78(1–2):11–27

    Article  Google Scholar 

  • Gorsevski PV, Gessler PE, Jankowski P (2003) Integrating a fuzzy k-means classification and a Bayesian approach for spatial prediction of landslide hazard. J Geogr System 5(3):223–251

    Article  Google Scholar 

  • Guzetti F (2003) Landslide hazard assessment and risk evaluation: limits and prospectives. In: Proceedings of the 4th EGS Plinius Conference held at Mallorca, Spain, October 2002

  • Hammond C, Hall D, Miller S, Swetik P (1992) Level I Stability Analysis (LISA) Documentation Version 2.0. General Technical Report INT-285, United States Department of Agriculture. Forest Service Intermountain Research Station, USA

    Google Scholar 

  • Lee S, Min K (2001) Statistical analyses of landslide susceptibility at Yongin, Korea. Environ Geol 40:1095–1113

    Article  Google Scholar 

  • Lu P, Rosembaum MS (2003) Artificial neural networks and grey systems for the prediction of slope instability. Nat Hazards 30(3):383–398

    Article  Google Scholar 

  • Montgomery DR, Dietrich WE (1994) A physically based model for the topographic control on shallow landsliding. Water Resour Res 30(4):1153–1171

    Article  Google Scholar 

  • Pack RT, Tarboton DG, Goodwin CN (1998) Terrain Stability Mapping with SINMAP, technical description and users guide for version 1.00,” Report Number 4114-0, Terratech Consulting Ltd., Salmon Arm, B.C., Canada (http://www.tclbc.com)

  • Van Westen CJ, Lulie GF (2003) Analyzing the evolution of the Tessina landslide using aerial photographs and digital elevation models. Geomorphology 54(1–2):77–89

    Article  Google Scholar 

  • Yesilnacar E, Topal T (2005) Landslide susceptibility mapping: a comparison of logistic regression and neural networks method in a medium scale study, Hendek region (Turkey). Eng Geol 79:251–266

    Article  Google Scholar 

  • Yilmaz I (2009a) Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: a case study from Kat landslides (Tokat-Turkey). Comput Geosci 35(6):1125–1138

    Article  Google Scholar 

  • Yilmaz I (2009b) A case study from Koyulhisar (Sivas-Turkey) for landslide susceptibility mapping by artificial neural networks. Bull Eng Geol Environ 68(3):297–306

    Article  Google Scholar 

  • Yilmaz I (2010a) Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and support vector machine. Environ Earth Sci 61(4):821–836

    Article  Google Scholar 

  • Yilmaz I (2010b) The effect of the sampling strategies on the landslide susceptibility mapping by Conditional Probability (CP) and Artificial Neural Networks (ANN). Environ Earth Sci 60(3):505–519

    Article  Google Scholar 

  • Yilmaz I, Keskin I (2009) GIS based statistical and physical approaches to landslide susceptibility mapping (Sebinkarahisar, Turkey). Bull Eng Geol Environ 68(4):459–471

    Article  Google Scholar 

  • Yilmaz I, Yýldýrým M (2006) Structural and geomorphological aspects of the Kat landslides (Tokat-Turkey), and susceptibility mapping by means of GIS. Environ Geol 50(4):461–472

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Geological Engineering, Faculty of Engineering, Cumhuriyet University, Sivas, Turkey

    Işık Yilmaz

  2. Faculty of Mining and Geology, Institute of Geological Engineering, VŠB-Technical University of Ostrava, 17 listopadu 15, 708 33, Ostrava, Czech Republic

    Marian Marschalko

  3. Department of Engineering Geology, Faculty of Natural Sciences, Comenius University, Mlynská dolina, 842 15, Bratislava, Slovak Republic

    Martin Bednarik

Authors
  1. Işık Yilmaz
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Marian Marschalko
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Martin Bednarik
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Işık Yilmaz.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yilmaz, I., Marschalko, M. & Bednarik, M. Comments on “Landslide susceptibility zonation study using remote sensing and GIS technology in the Ken–Betwa River Link area, India” by R. Avtar, C. K. Singh, G. Singh, R. L. Verma, S. Mukherjee, H. Sawada in Bulletin of Engineering Geology and the Environment (doi:10.1007/s10064-011-0368-5). Bull Eng Geol Environ 71, 803–805 (2012). https://doi.org/10.1007/s10064-011-0406-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10064-011-0406-3

Keywords

Search

Navigation